With the new key influencers visual, it's common for it to identify key influencers where the number of records described are only 1 or 2 (for example, "finish type quit is 11x more likely in Hanover, Maryland" when there was only one finish in Hanover Maryland and it was a quit). My idea would be to assign a weight based on number of records and adjust the influencers toward the overall population mean the lower below a threshold (30 records?) the number of records involved is.2 votes
Mic option is not enable,if this feature is enabled for mobile app then we don't need to type QnA,we can directly ask question in mic.2 votes
Sería conveniente contar con el material de aprendizaje con subtitulos en español.
Hay videos o material de lectura en idioma español?2 votes
My organization has blocked the use of non certified custom visuals in our tenant and the ML performance report leverage them significantly. Please only use certified custom visuals in reports that are auto-generated1 vote
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We would like the possibility to add custom R libraries to our Premium capacity for example healthcare.ai 's Machine Learning library.2 votes
I want to predict with machine learning model in Power Query.
for quick / low-cost predict without using Azure.
1. Azure Machine Learning can export model as Core ML.
2. T-SQL of SQL Server have predict feature.
3. Model can use on-premises, offline, without using Azure.
So, I hope to importing model to Power Query,
and predict with model in Power Query.
to predict a lot of data on-premises/offline/quick/low-cost.
Function to "automatically find clusters" allows user to select number of clusters, as option. Can an option to use scalable EM algorithm (default) vs. non-scalable EM vs. K Means be added to the desktop tool?7 votes
Input fields that go into Azure Meachine Learning as WebService Input and gives us a predictive result on PowerBI
Can we have an Input field set on Power BI that goes into the Azure Machine Learning Predictive Experiment, calculates the predictive rice based on the inputs and gives back the results to PowerBI.7 votes
Azure Machine Learning integration for Dataflows is now available for preview: https://docs.microsoft.com/en-us/power-bi/service-machine-learning-integration.
We’re planning to extend this to Power BI desktop.
Power BI/Cognitive Services combination could be a killer app but it needs to be made more accessible.
There are third party documented methods for accessing Microsoft Cognitive Services APIs from Power BI but the process is a little convoluted and does not work for asynchronous APIs such as Text Analytics Topic API.
My suggestion would be to add an "Analytics" tab to list the available cognitive services.
Integration of Power BI sign-ins and Cognitive Services sign-ins would also be handy.13 votes
We started the work on this feature, will be released in preview soon
For machine learning I often have value that is derived from other values but is an "age" for example ageinhours, where I do not want to sum, average, min, max, but use date-time types. Having a date time measure that starts at a "born on" time of zero and aging would be awesome. This way we could time sequence by days, weeks, months, years as we do with other dates.2 votes
Add common data mining algorithms to Power BI. Solver Algorithms, Linear Regression, Association Rules, and Clustering would be awesome. My understanding is that they were available in the old Power Query and Power Pivot add-ins to Excel.10 votes
1) Click on a "Sherlock Homes" icon (for data scope) and get a bounding rectangle with sub-boxes summarizing interesting patterns and correlations found in the dataset, chart, graph, grid.
2) Drag a line charted against time, into future and see time-series prediction.
3) Click on a "Clustering" symbol for a chart, graph, grid and get the choice for various k-means visualizations.
Program should able to answer What if questions and it should show us a notificaition if the sale is going low than Last year or Last month or Lastquarter or last week, etc as coded.1 vote
please add support for the R Package: BSTS0 votes
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